Abstract

We present a wind-predictive controller for astronomical adaptive optics (AO) systems that is able to predict the motion of a single windblown layer in the presence of other, more slowly varying phase aberrations. This controller relies on fast, gradient-based optical flow estimation to identify the velocity of the translating layer and a recursive mean estimator to account for turbulence that varies on a time scale much slower than the operating speed of the AO loop. We derive the Cramer–Rao lower bound for the wind estimation problem and show that the proposed estimator is very close to achieving theoretical minimum-variance performance. We also present simulations using on-sky data that show significant Strehl increases from using this controller in realistic atmospheric conditions.

© 2011 Optical Society of America

Laboratory demonstration of the prediction of wind-blown turbulence by adaptive optics at 8  kHz with use of LQG control

Lisa A. Poyneer, S. Mark Ammons, Mike K. Kim, Brian Bauman, Jesse Terrel-Perez, Aaron J. Lemmer, and Jayke Nguyen
Appl. Opt. 62(8) 1871-1885 (2023)

Adaptive distributed Kalman filtering with wind estimation for astronomical adaptive optics

Paolo Massioni, Luc Gilles, and Brent Ellerbroek
J. Opt. Soc. Am. A 32(12) 2353-2364 (2015)

Impact of time-variant turbulence behavior on prediction for adaptive optics systems

Maaike van Kooten, Niek Doelman, and Matthew Kenworthy
J. Opt. Soc. Am. A 36(5) 731-740 (2019)

Multi time-step wavefront reconstruction for tomographic adaptive-optics systems

Yoshito H. Ono, Masayuki Akiyama, Shin Oya, Olivier Lardiére, David R. Andersen, Carlos Correia, Kate Jackson, and Colin Bradley
J. Opt. Soc. Am. A 33(4) 726-740 (2016)

Fourier transform wavefront control with adaptive prediction of the atmosphere

Lisa A. Poyneer, Bruce A. Macintosh, and Jean-Pierre Véran
J. Opt. Soc. Am. A 24(9) 2645-2660 (2007)